linux optimization

Guide to Linux best practices for AI workloads: choose stable, GPU-friendly distros; install matching NVIDIA drivers/CUDA; manage reproducible envs with containers or conda; tune kernels, I/O, and NUMA for performance; enable mixed precision; monitor GPUs/thermals; apply least-privilege security; automate setup with scripts/Ansible; version and back up data and models.